2002
DOI: 10.1006/enfo.2002.0098
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Using Multiple Criteria for Fingerprinting Unknown Oil Samples Having Very Similar Chemical Composition

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Cited by 6 publications
(1 citation statement)
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“…In this work, we comprehensively analyze oil slicks, oil seeps, and reservoir oil to establish a compositional linkage between the samples and track the transformation of petroleum compounds during migration from the reservoir to the water surface. Biomarker analysis, based on gas chromatography mass spectrometry (GC/MS), has traditionally remained the method of choice for determining relationships between different environmental samples. Sample characterization with this technique remains limited, however, due to the technique’s inability to analyze nonvolatile molecules and limited chromatographic resolution, which traditionally results in a significant unresolved complex mixture (UCM). Here, we employ Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) to provide chemical fingerprinting information to determine petroleum complexity, while also providing an excellent starting point to begin a more complete characterization of the sample.…”
Section: Introductionmentioning
confidence: 99%
“…In this work, we comprehensively analyze oil slicks, oil seeps, and reservoir oil to establish a compositional linkage between the samples and track the transformation of petroleum compounds during migration from the reservoir to the water surface. Biomarker analysis, based on gas chromatography mass spectrometry (GC/MS), has traditionally remained the method of choice for determining relationships between different environmental samples. Sample characterization with this technique remains limited, however, due to the technique’s inability to analyze nonvolatile molecules and limited chromatographic resolution, which traditionally results in a significant unresolved complex mixture (UCM). Here, we employ Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) to provide chemical fingerprinting information to determine petroleum complexity, while also providing an excellent starting point to begin a more complete characterization of the sample.…”
Section: Introductionmentioning
confidence: 99%